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Industry SolutionsData Warehouse Migration for Securities Depository
The client´s existing data warehouse was based on the Teradata platform, with a total storage volume reaching 70TB. As business volumes and data continued to grow, the platform could no longer meet batch processing timeliness requirements. Considering the high cost of future expansion, the client sought to migrate to a more cost-effective DWS platform to replace the current system.
Large volume of existing data (70TB)
Technical complexity in interfacing with heterogeneous platforms
Lack of a comprehensive migration solution
Tight timeline—client required the entire migration to be completed within six months
Based on a deep understanding of the client’s needs and leveraging our extensive migration experience, we rapidly tailored a solution and supporting tools to meet the deadline:
Utilized our proprietary table conversion tool to convert approximately 98% of Teradata DDL statements to Gauss syntax, significantly accelerating the migration process
Developed an automated data migration program using batch APIs to efficiently and accurately transfer massive volumes of historical data
Executed complete Teradata-to-Gauss migration, covering table creation, data verification, and character encoding conversion (GBK to UTF-8), ensuring migration progress and shortening the timeline
Manually mapped and converted Teradata macros into equivalent Gauss functions
Successfully migrated all historical data from Teradata’s source and foundation layers to the Gauss database
Enabled daily automated incremental synchronization between the two systems, solving data verification challenges
Completed the full migration project within the six-month deadline and received highly positive feedback from the client
Post-launch, the system operated smoothly and was able to detect and alert on data inconsistencies in real time, preventing rework and ensuring data integrity
中电金信鲸Bot RPA是一款面向金融行业客户的机器人流程自动化的开发平台。
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鲸Bot设计器
鲸Bot设计器集成了浏览器自动化组件，office办公自动化组件，数据库组件，文件处理组件、邮件组件等多种类型组件，通过全栈自动识别技术，自动识别目标元素，使开发过程所见即所得，降低了RPA开发门槛，让业务人员也可以方便地进行业务流程的开发。
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鲸Bot机器人
通过手动执行、定时执行、控制台远程调用的方式运行自动化流程，配合控制台对外提供API接口，供外部程序调用。通过特有的视觉反馈技术提供统一的异常处理机制，极大降低开发和运维成本，让RPA流程运行更加稳定，而解决金融行业因技术人员产能不足难以支持其业务发展的问题。
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